Research on Landscape Pattern Optimization of Xianglan Town Based on GIS and Fragstats

DOI

10.2991/icoss-17.2017.39How to use a DOI?

Keywords

Xianglan town; Landscape pattern; Spatial analysis; GIS; Optimization.

Abstract

By the principle of landscape ecology analysis to analyze the Heilongjiang Province on the landscape spatial pattern of town domain Tangyuan County in Jiamusi city, Landscape spatial analysis and spatial data modeling were carried out by using GIS technology, and the raster map was transferred into Fragstats to calculate the landscape index, which includes the main index of landscape patch area, total area of patch type, patch density, total edge length, patch area of statistical distribution index, patch index distribution type for landscape area ratio, the largest patch area index, the proportion of similar adjacent degree, degree of polymerization, interspersion and juxtaposition index, patch cohesion index, landscape diversity index and the landscape evenness index, edge density, similarity index, the number of landscape patches, landscape shape index, fractal dimension, and perimeter area fractal dimension. The deficiency of Landscape spatial pattern can be obtained after the landscape index analysis, such as the low traffic land landscape aggregation degree, the complex shape of edge landscape, the high landscape fragmentation degree ; the small waters of landscape patch area, so as to optimize the patch, corridor and matrix planning, to form a reasonable landscape pattern, and to optimize the landscape ecological environment of small towns.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Haihong Song
AU  - Lingxiao Liu
AU  - Yutong Zhang
AU  - Siyu Pei
PY  - 2017/04
DA  - 2017/04
TI  - Research on Landscape Pattern Optimization of Xianglan Town Based on GIS and Fragstats
BT  - Proceedings of the 2017 International Conference on Society Science (ICoSS 2017)
PB  - Atlantis Press
SP  - 214
EP  - 230
SN  - 2352-5398
UR  - https://doi.org/10.2991/icoss-17.2017.39
DO  - 10.2991/icoss-17.2017.39
ID  - Song2017/04
ER  -